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Reviving from the Pandemic: Harnessing the Power of Social Media Reviews in the Sustainable Tourism Management of Group Package Tours

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Listed:
  • Wai Ki Liang

    (CBL Bristol Business School, University of the West of England, Bristol BS16 1QY, UK)

  • Sven Dahms

    (College of Business, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates)

  • David Reay Corkindale

    (UniSA Business, City West Campus (Y4-35), University of South Australia, Adelaide, SA 5001, Australia)

  • Joe Liddiatt

    (CBL Bristol Business School, University of the West of England, Bristol BS16 1QY, UK)

Abstract

During the COVID-19 pandemic, the tourism sector encountered multiple challenges. Numerous governments chose to lock down their cities and countries. Despite this, many companies found their online businesses making the greatest leaps in their portfolios, and social media platforms became one of the most valuable sources of information for purchase decisions. There have been numerous studies on the effects of social media reviews—a form of electronic word-of-mouth (eWOM)—on consumer behavior. Few were found to be related to their impact on group package tours (GPTs) while considering mixed eWOM, that is, both the positive and negative forms present in word-of-mouth communication. As the tourism sector gradually revives, the need to further explore how tourism and hospitality service providers can adapt to changes in post-pandemic consumer behavior has become imperative. The influence of social media reviews on consumers’ value perceptions of a GPT to Japan, allowing for the influence of the marketing mix element of advertised price, was examined through online experiments in this study. Positive, negative, and mixed eWOM were examined. It was found that eWOM was more influential on consumers’ value perceptions than the advertised price for all price acceptability levels. Mixed eWOM was found to negatively affect consumers’ final price perceptions which override the impact of quality perceptions in value formations. The value perceptions of the GPT became less acceptable when eWOM was mixed compared to when eWOM was absent or was positive. Mixed eWOM had a negative effect on value perceptions but not as great as when negative eWOM was present, and this was consistently found to apply for all price acceptability levels of the GPT. This study’s contribution to eWOM research and implications for the post-pandemic recovery of tourism and hospitality service providers are made, together with suggested strategies using innovative technologies and communications to enhance their adaptive resilience in the new normal.

Suggested Citation

  • Wai Ki Liang & Sven Dahms & David Reay Corkindale & Joe Liddiatt, 2025. "Reviving from the Pandemic: Harnessing the Power of Social Media Reviews in the Sustainable Tourism Management of Group Package Tours," Tourism and Hospitality, MDPI, vol. 6(1), pages 1-26, March.
    • Handle: RePEc:gam:jtourh:v:6:y:2025:i:1:p:41-:d:1604463
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    References listed on IDEAS

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    1. King, Robert Allen & Racherla, Pradeep & Bush, Victoria D., 2014. "What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 167-183.
    2. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    3. Yingtao Shen & Shenyu Li & Michelle DeMoss, 2012. "The Effect Of Quantitative Electronic Word Of Mouth On Consumer Perceived Product Quality," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 5(2), pages 19-29.
    4. Wei-Po Chou & Peng-Wei Wang & Shiou-Lan Chen & Yu-Ping Chang & Chia-Fen Wu & Wei-Hsin Lu & Cheng-Fang Yen, 2020. "Voluntary Reduction of Social Interaction during the COVID-19 Pandemic in Taiwan: Related Factors and Association with Perceived Social Support," IJERPH, MDPI, vol. 17(21), pages 1-12, October.
    5. Shwu-Ing Wu & Hui-Ling Chang, 2016. "The Model of Relationship between the Perceived Values and the Purchase Behaviors toward Innovative Products," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 7(2), pages 31-45, May.
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